multitasking
Non-blocking Python methods using decorators (by ranaroussi)
Joblib
Computing with Python functions. (by joblib)
multitasking | Joblib | |
---|---|---|
1 | 2 | |
191 | 3,683 | |
- | 1.4% | |
3.2 | 7.7 | |
almost 2 years ago | 14 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
multitasking
Posts with mentions or reviews of multitasking.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-22.
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I made autothread: the easiest way to add parallelization to your code
Oh cool, I missed that one when I did my initial research. I did come across multitasking, which is also similar but doesn't make it easy to return objects from the function.
Joblib
Posts with mentions or reviews of Joblib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-12.
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Celery & Scikit-Learn: Using n_jobs under a Celery task throws joblib/Loky warning
Here's a thread from a few years ago btw on using billiard as a backend for joblib. https://github.com/joblib/joblib/issues/311